利用基于 Python/RGB 模块的 DNA 电泳图像 分析方法检测绵羊血浆中羊源性成分.
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| Title: | 利用基于 Python/RGB 模块的 DNA 电泳图像 分析方法检测绵羊血浆中羊源性成分. (Chinese) |
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| Alternate Title: | Detection of Sheep-derived Components in Sheep Plasma Using DNA Electrophoresis Image Analysis Based on the Python/RGB Module. (English) |
| Authors: | 曹诗林, 张春鸿, 赖昕珏, 袁志涛, 郝锦亨, 陈慧, 马俊炜, 李鑫尧, 余洁婷, 罗佳伟, 陈胤熹, 郑少鹏, 郑焜文, 林小茹, 陈宛涓 |
| Source: | Modern Food Science & Technology; 2024, Vol. 40 Issue 6, p252-259, 8p |
| Abstract (English): | A novel method for determining the molecular weight and content of DNA in foods was developed using Python, and an image analysis method for DNA gels was established. Agarose gel electrophoresis was performed using DNA markers of different molecular weights and DNA standard samples, and gel images were captured for analysis with a selfdeveloped Python program. Image optimization was then performed using grayscale image conversion, Gaussian blurring, image thresholding, and contour detection, and the linear relationship between DNA concentration and RGB value was explored using the contour average, contour centerline, global data average, and global data integration methods, and the optimal processing method was selected. Pixel migration distance, RGB-grayscale value, RGB-vector, and RGB-brightness were used to determine the molecular weight and DNA content. A method for analyzing the molecular weight and content in DNA gel electrophoresis was established based on the Python/RGB color system. The relatively small error in the detection results demonstrates the feasibility of using Python/RGB to obtain information about DNA molecular weight and analyze content. Application of the gel image analysis method to detect sheep-derived components in the sheep plasma indicated 296 bp of the target protein, while 294 bp was obtained using the DNA detection method, indicating an error of only 0.99%. The results therefore indicate that the method may serve as a novel means of detecting meat-derived components. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): | 该文探究了运用 Python 处理食品中 DNA 分子量与含量测定的新方法, 建立了 DNA 凝胶图像分析方法。 将不同分子量的 DNA Marker 与 DNA 标准样品进行琼脂糖凝胶电泳并拍照, 利用自行开发 Python 程序分析凝胶图, 对 图像进行灰度图转换、高斯模糊、图像阈值化、轮廓检测的图像优化步骤, 探究了轮廓平均值法、轮廓中线法、全局 数据平均法、全局数据积分法反映出 DNA 浓度与 RGB 数值间的线性关系, 选取最优处理方法, 通过读取像素迁移距 离、RGB- 灰度、RGB- 向量、RGB- 亮度进行 DNA 分子量与含量的测定实验, 建立一种基于 Python/RGB 色彩体系的 DNA 凝胶电泳中分子量与含量的分析方法。检测结果误差较小, 证明了 Python/RGB 的 DNA 分子量与含量分析方法的 可行性, 同时将该文所构建的凝胶图像分析方法应用于绵羊血浆中羊源性成分检测, 结果显示所得目的蛋白为 296 bp, 而用 DNA 检测法得出样品中片段大小为 294 bp, 误差为 0.99%, 有望构建一种肉类源性成分检测的新方法。 [ABSTRACT FROM AUTHOR] |
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| Database: | Complementary Index |
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